Re: PostgreSQL 7.4.1 and pgdb.py - Mailing list pgsql-general

From Manuel Tejada
Subject Re: PostgreSQL 7.4.1 and pgdb.py
Date
Msg-id 001b01c3eead$3cfa5ee0$bee430c8@alejo
Whole thread Raw
In response to PostgreSQL 7.4.1 and pgdb.py  ("Manuel Tejada" <mantemu@terra.com.pe>)
Responses Re: PostgreSQL 7.4.1 and pgdb.py  (Kris Jurka <books@ejurka.com>)
List pgsql-general
As a user of PostgreSQL I totally agree with Gaetano Mendola.
There is no reason to pull the python subpackage out of the main set,

----- Original Message -----
From: "Gaetano Mendola" <mendola@bigfoot.com>
To: <pgsql-general@postgresql.org>
Sent: Friday, February 06, 2004 9:24 PM
Subject: Re: [GENERAL] PostgreSQL 7.4.1 and pgdb.py


> Lamar Owen wrote:
> > On Friday 30 January 2004 10:59 pm, Alvaro Herrera wrote:
> >
> >>On Fri, Jan 30, 2004 at 07:42:27PM -0800, Jeff Davis wrote:
> >>
> >>>You can probably get an updated pgdb.py somehow, or you can just use
> >>>"import pg" which has a different interface (non DBAPI-2.0 compliant)
> >>>but should work fine (since it doesn't try to access system catalogs,
> >>>it's more of a low-level PG interface for python).
> >
> >
> >>Keep in mind that there's also psycopg and PyGreSql, as far as Python
> >>interfaces go.
> >
> >
> > Since I don't necessarily keep up with what is going on in the Python
client
> > world, would people enlighten me as to which python client would be best
to
> > build RPMs for?  I'm going to pull the python subpackage out of the main
set,
> > but I really would like to roll a set for the python clients, unless the
> > maintainers of those now out of the main tarball clients have their own
RPMs.
>
>
> Simply distribute the same files distributed with postgres 7.3.X, what
> you did in last 7.4.1 distribution was insert a pre 7.3.2 pgdb.py
>
>
> IMHO is a pity remove the pyhton subpackage just for a so little mistake.
>
>
> Regards
> Gaetano Mendola
>
>
>
>
>
> ---------------------------(end of broadcast)---------------------------
> TIP 9: the planner will ignore your desire to choose an index scan if your
>       joining column's datatypes do not match


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